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Context and product experience: Natural/naturalistic/Lab context.Relative importance of intrinsic and extrinsic characteristics on consumer perceptionĪpplication to projective mapping data under blind and informed conditionsĩ.30-10.30 Sara Spinelli – Explaining contextġ1.00-12.00 Sara Spinelli – Studying context: methods and case studies R-basics: How to import data and launch an analysis.Comparing clusters and segments 16.30.00-18.00 R-Lab.Segmenting for liking, taste responsiveness, psychological traits and attitudes, physiological measuresġ5.30-16.30 Gastón Ares – Measuring individual difference.Measuring expectations to gain an insight into product performanceġ4.00-15.00 John Prescott – Explaining individual differences.The role of expectations in consumer driven product development.Types of expectations: sensory-based, hedonic or affect-based, credencebased expectationsġ1.00-12.00 Gastón Ares – Measuring expectations: methods and case studiesĬonjoint analysis: Evaluation of how extrinsic characteristics influence consumer expectationsġ2.00-13.00 Erminio Monteleone – Analysing expectations.Sources of expectations: memory, associations.

Expectations as a psychological construct.

Multi-country studies Thursday 14 th June 2018ĩ.00-10.30 John Prescott – Explaining expectations

Sensory and branding: the impact of expectations on emotionsġ7.00-18.00 Sara Spinelli & John Prescott – Designing a study: emotions, liking, preference.

Emotions in the product experience: from the product to the packaging (and back).

Measuring emotions from the brain: applied consumer neuroscience.

Measuring emotions through physiological measures (ANS).

Implicit measurements: Implicit Association and Emotive Projection Test.

Explicit measurements: verbal and visual self-reports Standardised and product specific questionnaires examples: EsSense Profile, GEOS, EmoSemio, PrEmo.

Hands on: Interpretation of preference mappingġ4.00-15.00 Sara Spinelli – Explaining emotionsġ5.30-17.00 Sara Spinelli – Measuring emotions: methods and case studies

Implicit methods: Implicit association task (IAT), primingġ2.00-13.00 Erminio Monteleone – Interpreting individual differences in liking.

Rating scales: applications and limitations.

Explicit and implicit measures of preferences.

Influences: exposure, familiarity, attention, learning mechanismsġ1.00-12.00 John Prescott – Measuring preferences: methods and case studies.

9.30-10.30 John Prescott – Explaining preferences

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